Mechanical Engineering

Shiv Nadar University is a comprehensive, multidisciplinary, research-focused, and student-centric University offering a full range of academic programs at the undergraduate, postgraduate and doctoral level. With state-of-the-art infrastructure, the University comprises of academic wings, sophisticated labs, international standard sports facilities, amphitheaters, auditorium, conference rooms and smart classrooms. The University&rsquo;s goal is to become internationally recognized for the quality of its research and creative endeavors and their applicability to improving quality of life, generating new insights and expanding the boundaries of human knowledge creativity. Committed to excellence in teaching, research and service, the University aims to serve the higher education needs of India and the world beyond.

Shiv Nadar University

World University root node

(SoE) School of Engineering

Tuijin Jishu/Journal of Propulsion Technology

Application of Artificial Intelligence to Measure the Productivity of an Assembly - Line Worker

9th International Conference on Internet of Things, Big Data and Security (IoTBDS 2024)

Industrial Internet of Things for Assembly Line Worker’s Work Fatigue Recognition

IFAC-PapersOnLine

Controlling and Optimization of On-time Delivery for Assemble-to-order Production System

Congress on Smart Computing Technologies

Intelligent Systems in Production Planning for an Assemble-to-Order Production System

Procedia CIRP

<a href="https://www.sciencedirect.com/science/article/pii/S2212827123002652">A CoBot Reinforcement Framework To Facilitate Assembly line Workers</a>

International Journal of Production Economics

<a href="https://www.sciencedirect.com/science/article/pii/S0925527322002390">Modelling and prediction of worker task performance using a knowledge-based system application</a>

IFAC PapersOnLine

A digital-twin based worker's work allocation framework for a collaborative assembly system

A Dynamic System to Predict an Assembly Line Worker’s Comfortable Work-Duration Time by Using the Machine Learning Technique

Environmental Science and Pollution Research

Review on performance assessment of solar stills using computational fluid dynamics (CFD)

Fulltext

Scientific Reports

Author Correction: Novel hybrid method to additively manufacture denser graphite structures using Binder Jetting (Scientific Reports, (2021), 11, 1, (2438), 10.1038/s41598-021-81861-w)